HiLearning vs Drawing with Math

「HiLearning电子书包学习系统」以TEAM model概念为架构，提供完整的教学与学习历程服务，其包含课堂教学服务(e-Teaching)、评量服务(e-assEssing)、诊断服务(e-diAgnosing)、补救教学服务(e-reMediation)四大系统，为全新的教学科技服务，HiLearning可提升学生的学习成效，在使用上如同学生的学习同伴。 注意:HiLearning为HiTeach智慧教室中学生端的运作平台，整体运作须在老师计算机端安装HiTeach Pro系统，并搭配具完善无线网络环境的智慧教室。 主要功能： 课件档案推送、作业递交、实时评量、飞讯功能、多功能工具栏等。 HiLearning is based on the TEAM model that provides complete services for teaching and learning process. The TEAM model is a brand new instructional technology service, including four sub-systems: e-Teaching, e-assEssing, e-diAgnosing and e-reMediation. Student-tablet is a major learning tool in the 21st century 1:1 educational computing environment. HiLearning increases the interaction between teachers and students, and also enhances students’ learning. In other words, it will act as a learning companion. Attention: HiLearning for iPad is a student side app in HiTeach smarter classroom solution. It should work with teacher's computer installed HiTeach Pro software under proper WiFi setting digital classroom. Main Functions: - Note in Page, supports various contents including sketch, text, photos, shapes etc - Submit note pages to teacher - Receive IWB pages from teacher - Response to multiple choice question/survey - Send messages to teacher

Our “Drawing with Math (Vector and Pixel Art)” app combines two main components: * uniquely versatile image editors, * various methods of linear transformations of both user-entered and system images. Image editors are available in vector and pixelated forms. The editors offer such options as: * free drawing, * entry of all standard shapes, * entry of regular Cartesian, polar, or parametric function into image editor. List of several visually appealing functions is provided. The App stores 10 most recent user entries for each type. Vector images can be linearly transformed in a variety of user-defined ways: * 2x2 matrix, * eigenvalues and eigenvectors, * rotation by degree, * reflection across a given vector. Pixelated images can be compressed by segments to user-selected rank. Mathematical context for the above is provided, whenever possible. Explanation of image compression algorithms requires significant understanding of Linear Algebra, and is available in our “Matrix Solver Step by Step” app. Several bonus images with animations and editable greeting cards are also available. Suggestions and any other feedback are welcome! Write to us at graphmath@aol.com.